{"id":"https://openalex.org/W4415003834","doi":"https://doi.org/10.1109/acit65614.2025.11185744","title":"Visual Object Tracking using Neural Networks for Embedded Systems","display_name":"Visual Object Tracking using Neural Networks for Embedded Systems","publication_year":2025,"publication_date":"2025-09-17","ids":{"openalex":"https://openalex.org/W4415003834","doi":"https://doi.org/10.1109/acit65614.2025.11185744"},"language":"en","primary_location":{"id":"doi:10.1109/acit65614.2025.11185744","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acit65614.2025.11185744","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 15th International Conference on Advanced Computer Information Technologies (ACIT)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5119925108","display_name":"Kostiantyn Verhun","orcid":null},"institutions":[{"id":"https://openalex.org/I160977438","display_name":"West Ukrainian National University","ror":"https://ror.org/047988g19","country_code":"UA","type":"education","lineage":["https://openalex.org/I160977438"]}],"countries":["UA"],"is_corresponding":true,"raw_author_name":"Kostiantyn Verhun","raw_affiliation_strings":["West Ukrainian National University,Department of Computer Science,Ternopil,Ukraine"],"affiliations":[{"raw_affiliation_string":"West Ukrainian National University,Department of Computer Science,Ternopil,Ukraine","institution_ids":["https://openalex.org/I160977438"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078347800","display_name":"Mykola Dyvak","orcid":"https://orcid.org/0000-0002-9049-4993"},"institutions":[{"id":"https://openalex.org/I160977438","display_name":"West Ukrainian National University","ror":"https://ror.org/047988g19","country_code":"UA","type":"education","lineage":["https://openalex.org/I160977438"]}],"countries":["UA"],"is_corresponding":false,"raw_author_name":"Mykola Dyvak","raw_affiliation_strings":["West Ukrainian National University,Department of Computer Science,Ternopil,Ukraine"],"affiliations":[{"raw_affiliation_string":"West Ukrainian National University,Department of Computer Science,Ternopil,Ukraine","institution_ids":["https://openalex.org/I160977438"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5119925108"],"corresponding_institution_ids":["https://openalex.org/I160977438"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.29513016,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"836","last_page":"840"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.8313000202178955,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.8313000202178955,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.660099983215332},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.6255999803543091},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.6093999743461609},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5975000262260437},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.578000009059906},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.48159998655319214},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.4438999891281128},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.40959998965263367}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8016999959945679},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6712999939918518},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.660099983215332},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.6255999803543091},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6184999942779541},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.6093999743461609},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5975000262260437},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.578000009059906},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.48159998655319214},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.4438999891281128},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.40959998965263367},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.361299991607666},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.359499990940094},{"id":"https://openalex.org/C154586513","wikidata":"https://www.wikidata.org/wiki/Q4420972","display_name":"Tracking system","level":3,"score":0.3366999924182892},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.31450000405311584},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.28369998931884766},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.2782000005245209},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.27000001072883606},{"id":"https://openalex.org/C2776505523","wikidata":"https://www.wikidata.org/wiki/Q4785468","display_name":"Plan (archaeology)","level":2,"score":0.25380000472068787},{"id":"https://openalex.org/C20894473","wikidata":"https://www.wikidata.org/wiki/Q1116105","display_name":"Object model","level":3,"score":0.25290000438690186}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/acit65614.2025.11185744","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acit65614.2025.11185744","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 15th International Conference on Advanced Computer Information Technologies (ACIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1857884451","https://openalex.org/W2064675550","https://openalex.org/W2211629196","https://openalex.org/W2653246566","https://openalex.org/W2790194629","https://openalex.org/W2894628923","https://openalex.org/W2963121817","https://openalex.org/W2964199361","https://openalex.org/W2964624386","https://openalex.org/W3035571898","https://openalex.org/W3090511652","https://openalex.org/W3173344965","https://openalex.org/W3209993199","https://openalex.org/W3214586131","https://openalex.org/W3214655065","https://openalex.org/W4286251267","https://openalex.org/W4304481542","https://openalex.org/W4312670531","https://openalex.org/W4317930461","https://openalex.org/W4320036905","https://openalex.org/W4390577959"],"related_works":[],"abstract_inverted_index":{"This":[0],"paper":[1],"considers":[2],"a":[3],"task":[4],"of":[5],"visual":[6],"object":[7,47,90,124],"tracking":[8,48,91,125],"with":[9],"application":[10],"in":[11,26,126],"embedded":[12],"systems.":[13],"Specifically,":[14],"Raspberry":[15],"Pi":[16],"is":[17,30,118],"considered":[18],"as":[19,94],"target":[20,105,128],"hardware":[21],"platform.":[22],"The":[23,99],"main":[24,46],"challenge":[25],"this":[27,137],"problem":[28],"setting":[29],"to":[31,120],"balance":[32],"between":[33],"algorithm":[34],"result":[35],"quality":[36],"and":[37,52,64,76,130],"its":[38],"runtime":[39,100],"efficiency.":[40],"To":[41],"select":[42],"the":[43,45,109,127],"method,":[44],"approaches":[49],"were":[50],"analyzed":[51,70],"compared.":[53],"Based":[54,107],"on":[55,80,108,136],"this,":[56],"Nanotrack":[57],"method":[58,117],"was":[59,69,102,113],"picked":[60],"for":[61,89],"deeper":[62],"analysis":[63],"experiments.":[65],"Method":[66],"results":[67,111],"accuracy":[68],"by":[71,77],"already":[72],"available":[73],"benchmark":[74],"scores":[75],"running":[78],"test":[79],"handpicked":[81],"cases":[82],"from":[83],"LaSOT":[84],"dataset":[85],"highlighting":[86],"different":[87],"challenges":[88],"methods":[92],"such":[93],"occlusion,":[95],"scale":[96],"variability,":[97],"etc.":[98],"performance":[101],"measured":[103],"using":[104],"hardware.":[106],"obtained":[110],"it":[112],"concluded":[114],"that":[115],"selected":[116],"suitable":[119],"perform":[121],"real":[122],"time":[123],"setting,":[129],"further":[131],"development":[132],"will":[133],"be":[134],"based":[135],"method.":[138]},"counts_by_year":[],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-10-10T00:00:00"}
